• J.Jagadeswara Reddy
• N.Haritha
• K.Lavanya

Alzheimer's disease stands as a prominent neurodegenerative disorder, presenting initially mild symptoms that progress to severe manifestations over time. The absence of a cure makes this ailment particularly formidable, with diagnosis typically occurring in advanced stages.. This study showcases the unexplored capabilities of the brain tumor architecture model in detecting brain tumors and adds to the expanding research on utilizing deep learning in the medical field. Given the brain's constrained space within the inflexible skull, any abnormal growth can result in serious complications, underscoring the importance of timely and precise detection for successful treatment.

Magnetic Resonance Imaging [MRI] , Deep Learning , Segmentation, Convolutional Neural Network, Machine Learning.

"AN ARTIFICIAL INTELLIGENCE ARCHITECTURAL MODEL DESIGNED TO DETECT ALZHEIMER'S-RELATED BRAIN TUMORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.g508-g512, June-2024, Available :http://www.jetir.org/papers/JETIR2406659.pdf

"AN ARTIFICIAL INTELLIGENCE ARCHITECTURAL MODEL DESIGNED TO DETECT ALZHEIMER'S-RELATED BRAIN TUMORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppg508-g512, June-2024, Available at : http://www.jetir.org/papers/JETIR2406659.pdf